unstructured data data warehouse

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The application of Sybase Data Warehouse technology in China Unicom Operation Analysis System

Application background China Unicom has a national scale of public telecommunications network, operating a variety of basic telecommunications business and value-added telecommunications services, the formation of mobile (GSM, CDMA), 193 long-distance, VoIP, 165 (Internet and E-commerce), paging, local calls, value-added services, such as a variety of business coexistence and common development pattern. How to give full play to Unicom's comprehensive advantages, to achieve flexible marketing st

Overview of dimension model Data Warehouse base objects Concept

product Dimension has a product family, a large class, and a small class of three attributes, which defines [ classify layer level, take advantage of these three properties directly, That is, each level is a property of a member. The other is between the dimension members, such as hr , each level is a specific dimension member, that is, each level is one or more dimension members, Each level contains multiple properties. The latter level is often persisted in the database in a recursive man

BI architecture and data warehouse design

BI architecture and data warehouse design (14:26:41)BI architecture and data warehouse design A data warehouse solution is often related to a large Bi strategy. When you plan to use the fast tracing architecture, the most impo

One-network fund settlement analysis system for Guangdong expressway Based on the Data Warehouse Star Model

One-network fund settlement analysis system for Guangdong expressway Based on the Data Warehouse Star Model Magenfeng(Guangdong Union Electronic Service Co., Ltd., Guangzhou 510300, China) SummaryThe star mode is a well-known concept in the Data Warehouse Based on relational databases. the design concept of the star co

Data Warehouse Series: The three types and prototype design of the common slow-changing dimension

In the process of extracting data from an OLTP business database to a DW data warehouse, especially after the first import, the problem is that some data in the business database has been changed to reflect these changes to the Data ware

Use partitions in SQL Server 2000 Data Warehouse

The partition view joins the horizontal partition data from a group of Members to make the data look like it is from the same table. SQL Server 2000 distinguishes the local partition view from the distributed partition view. In the local partition view, all related tables and views reside on the same instance of SQL Server. In the distributed partition view, at least one table in the relevant table resides

Database and Data Warehouse

intelligence can assist business decision-making, which can be either operational or tactical or strategic. To turn data into knowledge, you need to leverage technologies such as data warehousing, online analytical processing (OLAP) tools, and data mining. Therefore, from the technical level, business intelligence is not a new technology, it is only

Introduction to OSFA and data warehouse in Oracle

Oraclew.alservicesapplication (OFSA) Technology Platform: Includes OracleWarehouseBuilder data warehouse building tool, Oracle8i Database, OracleExpress multi-dimensional database, CommonWarehouseMetadata Common Data Warehouse metadata management tool, OracleInternetDevelopSuites Business Intelligence Oracle Financial

The basic architecture of the Data Warehouse

The purpose of the data Warehouse is to build an integrated data environment for analysis, providing decision support for the Enterprise (decision supports). The basic architecture of data warehouse mainly consists of the process of data

AWS pushes the data warehouse service Redshift price only for TeradataIBMOracle

[CSDN report] Some time ago, an article was published on Gigaom: whatunbelievablenewservicesdoesAmazonhaveontap? Now we know at least one of them, Amazon's incredible new service, Redshift data warehouse service, points to Oracle, IBM, and Teradata. [CSDN report] Some time ago, an article on Gigaom was published: what unbelievable new services does Amazon have on tap? Now we know at least one of them, Amazo

Analysis of large data solution based on Microsoft SQL Server Parallel-Warehouse

Review As more and more organizations of data from the GB, TB level to the PB level, marking the entire social informatization level is entering a new era-the big data era. The processing of massive data, analytical ability, increasingly becoming the key factor in the future of the organization in this era, and based on the application of large

Scenario 4 Data Warehouse Management DW

Scenario 4 Data Warehouse Management DWParallel 4 100%-> must obtain a specified 4 degree of parallelism, if the number of processes obtained is less than the number of degrees of parallelism set, the operation failsParallel_min_percent: If set to 100, as aboveILM: Information Lifecycle ManagementHigh compression of dormant data on low-cost channels (e.g. tape dr

Open-source MySQL efficient data warehouse solution: Infobright details, mysqlinfobright

Open-source MySQL efficient data warehouse solution: Infobright details, mysqlinfobright Infobright is a column-based database based on unique patented knowledge grid technology. Infobright is an open-source MySQL Data Warehouse solution that introduces the column storage solution, high-strength

Use Hive to build a data warehouse

systems that may have existed for decades with systems that were only implemented a few months ago? This is still before big data and Hadoop. By adding unstructured, Data, NoSQL, and Hadoop to a combination, you will soon get a huge data integration project. The simplest way to describe a

"Reprint" MySQL Multidimensional Data Warehouse Guide First chapter 1th

Label:MySQL Multidimensional Data Warehouse GuideFirst PrinciplesChapter List :Chapter 1: Basic CompositionChapter 2: History of DimensionsChapter 3: Dimensions of additiveChapter 4: Dimension QueriesThis article outlinesYou will use a relational database to implement a dimensional data warehouse. The fact and dimensio

Comparative analysis---Relational model and multidimensional model of Data Warehouse database design method

Label:There are two kinds of database design models widely used in Data warehouse: Relational type and multidimensional type. It is generally believed that the relational model in the design method of Data Warehouse is "Inmon" method and multidimensional model is "Kimball" method. First look at the relational model, wh

Introduction to OSFA and data warehouse in Oracle

Oracle Financial Services Application (OFSA) technical platform: includes Oracle Warehouse Builder Data Warehouse building tool, Oracle8i Database, Oracle Express multi-dimensional database, Common Warehouse Metadata Common Data Warehous

My view of Data Warehouse (design article)

Design | Data building Data Warehouse What do you want to do? Generally, there are two main areas of data Warehouse construction: 1. Interface design with operational database. 2. The design of the data

Glossary: Data Warehouse

A data warehouse (DW) cleans, extracts, and transforms a large amount of traditional database data for transaction processing, and reorganizes the data according to the needs of decision topics. A large number of organizations have discovered that in today's competitive and fast-growing world,

Learn about the DB2 data warehouse center

The following describes the functions and usage of the DB2 data warehouse center. If you are interested in the DB2 data warehouse, take a look. DB2 on Windows and AIX comes with a data warehouse center. This free tool provides a

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